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Applications of Nature-Inspired Computing in Renewable Energy Systems

Applications of Nature-Inspired Computing in Renewable Energy Systems
Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
Copyright: ©2022
DOI: 10.4018/978-1-7998-8561-0
ISBN13: 9781799885610
ISBN10: 1799885615
EISBN13: 9781799885634

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Description

Renewable energy is crucial to preserve the environment. This energy involves various systems that must be optimized and assessed to provide better performance; however, the design and development of renewable energy systems remains a challenge. It is crucial to implement the latest innovative research in the field in order to develop and improve renewable energy systems.

Applications of Nature-Inspired Computing in Renewable Energy Systems discusses the latest research on nature-inspired computing approaches applied to the design and development of renewable energy systems and provides new solutions to the renewable energy domain. Covering topics such as microgrids, wind power, and artificial neural networks, it is ideal for engineers, industry professionals, researchers, academicians, practitioners, teachers, and students.



Author's/Editor's Biography

Mohamed Mellal (Ed.)
Accreditation to Supervise Research (2017), Ph.D. (2013), M.S. (2009), and B.S. (2007) in Mechanical Engineering – Specialty: Mechatronics; M’Hamed Bougara University, Boumerdes, Algeria. Prof. Mellal is a Professor at the Department of Mechanical Engineering, Faculty of Technology, M’Hamed Bougara University, Boumerdes, Algeria. He was a Temporarily Associated to Teaching and Research (ATER) at the Department of Industrial Engineering and Maintenance, University Institute of Technology Louis Pasteur, University of Strasbourg, France. He is affiliated to the LMSS Laboratory (Solid Mechanics and Systems Laboratory, M’Hamed Bougara University, Algeria) and was affiliated to the Control, Vision and Robotics team of the ICube Laboratory (The Engineering Science, Computer Science and Imaging Laboratory, University of Strasbourg, France). Prof. Mellal was ranked in the Top 2% of Scientists Worldwide by Stanford University (Single-year 2022) and 1st by the 47th National University Commission for the Professorship in Mechanical Engineering in 2022. He was a Fulbright Visiting Scholar at the Center for Advanced Life Cycle Engineering (CALCE), Department of Mechanical Engineering, University of Maryland, College Park, MD, USA. Likewise, he was a Visiting Scholar at Osaka Electro-Communication University, Japan; Korea Aerospace University, South Korea; and University of Essex, UK. He was also involved in the international project “Algerian National Laboratory for Maintenance Education” in conjunction with the European Union (Erasmus+). He has supervised numerous dissertations, published in various SCIE journals, and conference proceedings. Prof. Mellal has edited 8 books and published 13 book chapters. He was an Invited Keynote Speaker at various conferences, served as a Session Chair for the 2nd and 3rd International Conference on System Reliability and Safety, ICSRS 2017 and 2018, held in Milan (Italy) and Barcelona (Spain), respectively. He also chaired sessions at the 8th International Conference on Mechatronics, Electronics and Automation Engineering (ICMEAE 2021), Beijing, China, and 5th International Conference on Mathematical Techniques in Engineering Applications, Dehradun, India, 2021. Prof. Mellal was recognized as the Best Reviewer for the International Conference on Vision, Image and Signal Processing (ICVISP) in 2017 and 2018, held in Osaka (Japan) and Las Vegas (USA), respectively. He is an Associate Editor for the journal Frontiers in Mechanical Engineering (Topic: Mechatronics) – IF=2.3. He has served as a committee member for over 80 international conferences and acted as a Guest Editor for journal special sessions. He continues to serve as a regular reviewer for more than 30 SCIE-indexed journals. His research interests encompass mechatronics, artificial intelligence for solving engineering problems, including system design and dependability, energy management, control, robotics, and manufacturing.

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